MarioniLab/scran: Methods for Single-Cell RNA-Seq Data Analysis
Version 1.9.35

Implements functions for low-level analyses of single-cell RNA-seq data. Methods are provided for normalization of cell-specific biases, assignment of cell cycle phase, detection of highly variable and significantly correlated genes, correction of batch effects, identification of marker genes, and other common tasks in single-cell analysis workflows.

Getting started

Package details

Bioconductor views BatchEffect Clustering GeneExpression Normalization RNASeq Sequencing SingleCell Software Transcriptomics Visualization
Maintainer
LicenseGPL-3
Version1.9.35
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("MarioniLab/scran")
MarioniLab/scran documentation built on Oct. 14, 2018, 5:11 p.m.